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Performance of maximum likelihood mixture models to estimate nursery habitat contributions to fish stocks: a case study on sea bream Sparus aurata ArchiMer
Niklitschek, Edwin J.; Darnaude, Audrey M..
Background: Mixture models (MM) can be used to describe mixed stocks considering three sets of parameters: the total number of contributing sources, their chemical baseline signatures and their mixing proportions. When all nursery sources have been previously identified and sampled for juvenile fish to produce baseline nursery-signatures, mixing proportions are the only unknown set of parameters to be estimated from the mixed-stock data. Otherwise, the number of sources, as well as some/all nursery-signatures may need to be also estimated from the mixed-stock data. Our goal was to assess bias and uncertainty in these MM parameters when estimated using unconditional maximum likelihood approaches (ML-MM), under several incomplete sampling and...
Tipo: Text Palavras-chave: Otolith chemistry; Mixture models; Mixed stocks; Mixing proportions; Mixing models; Stock identification; Stock structure; Fish stocks; Population structure; Sparus aurata.
Ano: 2016 URL: https://archimer.ifremer.fr/doc/00625/73753/74388.pdf
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